fil_b128_le3_s4000 – AI Model by mikhail-panzo | AlphaNeural AI

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mikhail-panzo/
fil_b128_le3_s4000

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microsoft/speecht5_tts

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fil_b128_le3_s4000

This model is a fine-tuned version of microsoft/speecht5_tts on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.5588

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 128
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
training_steps: 4000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.4367	44.4444	500	0.4145
0.4709	88.8889	1000	0.4964
1.5891	133.3333	1500	1.5470
1.5787	177.7778	2000	1.5497
1.5714	222.2222	2500	1.5524
1.5715	266.6667	3000	1.5577
1.5689	311.1111	3500	1.5574
1.5691	355.5556	4000	1.5588

Framework versions

Transformers 4.41.0.dev0
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.19.1